Network Analysis for Social Sciences with R
Date:
15/09/2025 - 19/09/2025
Organised by:
University of Manchester, Mitchell Centre
Presenter:
Filip Agneessens, Nikita Basov, Nick Crossley, Tomáš Diviák, Martin Everett, Michael Genkin, and Philip Leifeld.
Level:
Intermediate (some prior knowledge)
Contact:
SoSS Research Operations
soss-research-operations@manchester.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
Arthur Lewis Building,
University of Manchester
Oxford Road
Manchester
Description:
This course offers an in-depth overview of concepts and measures in social network analysis.
This course is (slightly) more technical than the “Introduction to Network Analysis for Social Sciences with UCINET” and will be using R (instead of UCINET). No prior knowledge of social network analysis or R is required, but a basic knowledge of social network analysis and of quantitative methods can be an advantage.
The course covers the following topics:
- Introduction to R and R packages for SNA
- Importing network data in R, basic manipulation of network data and visualization
- In-depth overview of centrality measures (including induced centrality)
- Measures of position with attributes (homophily, diversity, resourcefulness) and structural holes (such as constraint index)
- Equivalence and blockmodeling
- Advanced R: multiplex and signed networks, or two-mode networks
- Advanced R: missing data, or discourse analysis
- Data collection (Choose among: Survey Data, Online Data or Archival Data)
- Short introduction to statistical models for SNA
In addition, the course offers the participants the opportunity to discuss their own projects with relevant experts from the Mitchell Centre.
Practical information
The course is tailored to PG, PhD, students and academics of any social science background, as well as industry professionals, from around the world.
Software: R and specific packages, such as sna, igraph, xUCINET and manynet. Participants are to bring their own laptops and have R installed prior to the start of the course. Information about how to install R will be provided before the start of the course.
Core reading: Borgatti S., Everett M.G., Johnson J. and Agneessens, F. 2022. Analyzing Social Networks with R. London: Sage.
Participants are encouraged to also take a subsequent course on Statistical Network Modelling for Social Sciences, 22-26 September 2025.
Cost:
Academics from A economies - £600
Students and B/C economy academics - £450
Industry - £1,000
Website and registration:
Region:
North West
Keywords:
Data Collection, Data Quality and Data Management , Quantitative Data Handling and Data Analysis, Social Network Analysis, Interaction analysis
Related publications and presentations from our eprints archive:
Data Collection
Data Quality and Data Management
Quantitative Data Handling and Data Analysis
Social Network Analysis
Interaction analysis